A Research on Indoor Positioning System Using Bluetooth

碩士 === 國立臺灣海洋大學 === 資訊工程學系 === 106 === Recently there have been more needs for applications based on Location-Based Services along with path navigation and big data analysis. Global Position System (GPS) technology can be used to meet outdoor application needs. However, GPS signal is blocked by buil...

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Main Authors: Liu, Wen-Chi, 劉文祺
Other Authors: Maa, Yeong-Chang
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/96qu32
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spelling ndltd-TW-106NTOU53940432019-05-16T01:40:51Z http://ndltd.ncl.edu.tw/handle/96qu32 A Research on Indoor Positioning System Using Bluetooth 使用藍牙室內定位系統之研究 Liu, Wen-Chi 劉文祺 碩士 國立臺灣海洋大學 資訊工程學系 106 Recently there have been more needs for applications based on Location-Based Services along with path navigation and big data analysis. Global Position System (GPS) technology can be used to meet outdoor application needs. However, GPS signal is blocked by buildings, thus other positioning solutions have to be resorted. Wi-Fi with fingerprinting is a viable and reliable approach, but it usually takes too long to set up the construction and is quite hard to update devices. With the introduction of iBeacon in 2013, sensors based on Bluetooth 4.0 show high reliability and low cost. iBeacon may become a better solution for indoor positioning system. This study focuses on verifying feasibility to indoor-location by using iBeacon and analyzing differences between positioning methods. We design and implement an application on smartphone to test positioning methods and to analyze the advantages and problems of these methods in different indoor space. We also propose and implement a new hybrid method to reduce the equipment cost and the setup time. The result proves that is feasible to build a positioning system using iBeacon. It has the accuracy similar to positioning using Wi-Fi. We also found that each positioning method has its own advantages can be implemented in different spaces. If we implement those method by combination solution, we will get better positioning results. Comparing with Fingerprinting, the method with best positioning accuracy, the combination method we proposed increases the distance error by 12%, while reduces the equipment use by 50% and the setup time by 56%. Maa, Yeong-Chang 馬永昌 2018 學位論文 ; thesis 40 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣海洋大學 === 資訊工程學系 === 106 === Recently there have been more needs for applications based on Location-Based Services along with path navigation and big data analysis. Global Position System (GPS) technology can be used to meet outdoor application needs. However, GPS signal is blocked by buildings, thus other positioning solutions have to be resorted. Wi-Fi with fingerprinting is a viable and reliable approach, but it usually takes too long to set up the construction and is quite hard to update devices. With the introduction of iBeacon in 2013, sensors based on Bluetooth 4.0 show high reliability and low cost. iBeacon may become a better solution for indoor positioning system. This study focuses on verifying feasibility to indoor-location by using iBeacon and analyzing differences between positioning methods. We design and implement an application on smartphone to test positioning methods and to analyze the advantages and problems of these methods in different indoor space. We also propose and implement a new hybrid method to reduce the equipment cost and the setup time. The result proves that is feasible to build a positioning system using iBeacon. It has the accuracy similar to positioning using Wi-Fi. We also found that each positioning method has its own advantages can be implemented in different spaces. If we implement those method by combination solution, we will get better positioning results. Comparing with Fingerprinting, the method with best positioning accuracy, the combination method we proposed increases the distance error by 12%, while reduces the equipment use by 50% and the setup time by 56%.
author2 Maa, Yeong-Chang
author_facet Maa, Yeong-Chang
Liu, Wen-Chi
劉文祺
author Liu, Wen-Chi
劉文祺
spellingShingle Liu, Wen-Chi
劉文祺
A Research on Indoor Positioning System Using Bluetooth
author_sort Liu, Wen-Chi
title A Research on Indoor Positioning System Using Bluetooth
title_short A Research on Indoor Positioning System Using Bluetooth
title_full A Research on Indoor Positioning System Using Bluetooth
title_fullStr A Research on Indoor Positioning System Using Bluetooth
title_full_unstemmed A Research on Indoor Positioning System Using Bluetooth
title_sort research on indoor positioning system using bluetooth
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/96qu32
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